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Computer Science

Lecture 6: Search: Games, Minimax, and Alpha-Beta

Course
Artificial Intelligence
Instructor
Patrick H. Winston
Department
Electrical Engineering and Computer Science
Recorded
Fall 2010
Level
Undergraduate
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About this lecture

In this lecture, we consider strategies for adversarial games such as chess. We discuss the minimax algorithm, and how alpha-beta pruning improves its efficiency. We then examine progressive deepening, which ensures that some answer is always available.

← Lecture 5: Search: Optimal, Branch and Bound, A*Lecture 7: Constraints: Interpreting Line Drawings →

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